---
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: mdeberta-webis
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mdeberta-webis

This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0358

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 200  | 3.0185          |
| No log        | 2.0   | 400  | 2.7336          |
| 3.0607        | 3.0   | 600  | 2.8486          |
| 3.0607        | 4.0   | 800  | 2.9132          |
| 1.5366        | 5.0   | 1000 | 3.2178          |
| 1.5366        | 6.0   | 1200 | 3.5241          |
| 1.5366        | 7.0   | 1400 | 3.6339          |
| 0.7761        | 8.0   | 1600 | 3.8417          |
| 0.7761        | 9.0   | 1800 | 3.9810          |
| 0.4992        | 10.0  | 2000 | 4.0358          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1